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JustDud/README.md

👋 About Me

Full‑stack developer focused on AI systems and automation. Working across Python, TypeScript, React, Docker, and modern ML/CV stacks to turn ideas into production‑ready products.
Open to work around AI automations, RAG systems, and ML‑powered products.


🧠 What I Work With

  • Languages: Python, TypeScript, JavaScript
  • Backend: Flask, FastAPI, REST APIs
  • Frontend: React, Next.js
  • AI / ML: PyTorch, TensorFlow, OpenCV, MediaPipe
  • Infra & Tooling: Docker, CI/CD (GitHub Actions), Cloud Deployment, API integrations

🚀 Selected Projects

🎯 GESTRO – Computer Vision BSL Interpreter

Real‑time computer vision pipeline that interprets British Sign Language hand gestures and converts them into structured signals.

Tech: Python, OpenCV, MediaPipe, Flask, React, ElevenLabs API

  • Built real‑time gesture detection and landmark extraction with a modular CV pipeline
  • Designed classification logic using ML‑oriented feature representations over visual input
  • Separated vision processing, inference logic, and API layers for scalability

🏆 1st place – AccelerateME Hackathon, ElevenLabs Challenge

👉 Repo: https://github.com/JustDud/gestro


🌍 REST‑Quest – Travel & Well‑Being Assistant

AI‑driven travel assistant that processes user speech and emotion, enriches it with external data, and generates context‑aware recommendations.

Tech: Python, Flask, REST APIs, OpenAI API, ElevenLabs API

  • Orchestrated multiple AI and data services through a backend routing layer
  • Integrated LLM + voice synthesis APIs for dynamic, personalised responses
  • Built a modular backend architecture optimised for rapid iteration and reliability

🥉 3rd place – GreatUniHack 2025, Booking.com Challenge

👉 Repo: https://github.com/JustDud/rest-quest


💼 Current Work

  • Full‑stack engineer, AI systems at a stealth AI startup
    • RAG‑style functionality connecting company data to language models for accurate, context‑aware responses
    • Fine‑tuning workflows to improve response quality against real use cases
    • Backend systems connecting LLMs with application logic in user‑facing products
    • React + TypeScript frontends for internal tools and model controls

Pinned Loading

  1. rest-quest rest-quest Public

    Rest Quest is a dual-surface, emotion-aware concierge that closes the gap between how travelers feel and how they plan wellness escapes.

    JavaScript 1

  2. gestro gestro Public

    Real-time, AI-powered computer vision system that translates British Sign Language (BSL) gestures into plain English text using webcam input.

    Python 2

  3. Vitalii-Dm/savr Vitalii-Dm/savr Public

    SAVR is a student-focused, AI-powered financial intelligence platform that transforms raw spending data into actionable insights, gamified savings challenges, and tiered rewards.

    TypeScript

  4. AI-Tic-Tac-Toe AI-Tic-Tac-Toe Public

    This project is a Machine Learning-powered Tic Tac Toe game that uses Q-learning, a reinforcement learning algorithm. It features an intuitive Pygame interface and performance visualisation with Ma…

    Python 1